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Retrosynthesis

Retrosynthetic analysis is a pivotal synthetic methodology in organic chemistry that employs a reverse-engineering approach, initiating from the target compound and retroactively tracing potential synthesis routes and precursor molecules. This technique proves instrumental in sculpting efficient synthetic strategies for intricate molecules, thus catalyzing the evolution and progression of novel pharmaceuticals and materials.

Papers

Showing 4150 of 110 papers

TitleStatusHype
Retro-fallback: retrosynthetic planning in an uncertain worldCode1
Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction0
Evolutionary Retrosynthetic Route PlanningCode0
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step RetrosynthesisCode1
RLSynC: Offline-Online Reinforcement Learning for Synthon CompletionCode0
RetroBridge: Modeling Retrosynthesis with Markov BridgesCode1
Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning0
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges0
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Retrosynthesis Prediction with Local Template Retrieval0
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